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Mendeley readers
Attention Score in Context
| Title |
Identification of Six New World Leishmania species through the implementation of a High-Resolution Melting (HRM) genotyping assay
|
|---|---|
| Published in |
Parasites & Vectors, November 2014
|
| DOI | 10.1186/s13071-014-0501-y |
| Pubmed ID | |
| Authors |
Carolina Hernández, Catalina Alvarez, Camila González, Martha Stella Ayala, Cielo Maritza León, Juan David Ramírez |
| Abstract |
BackgroundLeishmaniases are tropical zoonotic diseases, caused by parasites from the genus Leishmania. New World (NW) species are related to sylvatic cycles although urbanization processes have been reported in some South American Countries such as Colombia. This eco-epidemiological complexity imposes a challenge to the detection of circulating parasite species, not only related to human cases but also infecting vectors and reservoirs. Currently, no harmonized methods have been deployed to discriminate the NW Leishmania species.FindingsHerein, we conducted a systematic and mechanistic High-Resolution Melting (HRM) assay targeted to HSP70 and ITS1. Specific primers were designed that coupled with a HRM analyses permitted to discriminate six NW Leishmania species. In order to validate the herein described algorithm, we included 35 natural isolates obtained from human cases, insect vectors and mammals. Our genotyping assay allowed the correct assignment of the six NW Leishmania species (L. mexicana, L. infantum (chagasi), L. amazonensis, L. panamensis, L. guyanensis and L. braziliensis) based on reference strains. When the algorithm was applied to a set of well-characterized strains by means of PCR-RFLP, MLEE and monoclonal antibodies (MA) we observed a tailored concordance between the HRM and PCR-RFLP/MLEE/MA (KI = 1.0). Additionally, we tested the limit of detection for the HRM method showing that this is able to detect at least 10 equivalent-parasites per mL.ConclusionsThis is a rapid and reliable method to conduct molecular epidemiology and host-parasite association studies in endemic areas. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 116 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Ecuador | 1 | <1% |
| Unknown | 115 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 22 | 19% |
| Student > Master | 21 | 18% |
| Student > Bachelor | 18 | 16% |
| Student > Ph. D. Student | 10 | 9% |
| Student > Doctoral Student | 9 | 8% |
| Other | 18 | 16% |
| Unknown | 18 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 32 | 28% |
| Biochemistry, Genetics and Molecular Biology | 24 | 21% |
| Medicine and Dentistry | 12 | 10% |
| Immunology and Microbiology | 10 | 9% |
| Veterinary Science and Veterinary Medicine | 6 | 5% |
| Other | 7 | 6% |
| Unknown | 25 | 22% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 25 November 2014.
All research outputs
#15,310,749
of 22,771,140 outputs
Outputs from Parasites & Vectors
#3,375
of 5,456 outputs
Outputs of similar age
#150,329
of 258,052 outputs
Outputs of similar age from Parasites & Vectors
#59
of 111 outputs
Altmetric has tracked 22,771,140 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 5,456 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.7. This one is in the 30th percentile – i.e., 30% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 258,052 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 111 others from the same source and published within six weeks on either side of this one. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.